How to learn Augmented Analytics after 12th in Delhi

The degree route

The degree route is a B.Tech with genuine Augmented Analytics depth. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, that means elective-level coverage inside B.Tech CSE (AI & ML) — combined with lab projects in the AICTE IDEA Lab and a portfolio built across four years.

How VSET teaches Augmented Analytics

Augmented analytics uses machine learning and natural language interfaces to automate parts of data preparation, insight discovery and explanation, so that analysis is not limited to people who can write queries by hand. At VSET this maps to elective-level coverage inside B.Tech CSE (AI & ML).

• Augmented analytics is not a named subject in VSET's seven GGSIPU B.Tech programmes; it is elective and project-level work.
• Machine learning coursework in the B.Tech CSE (AI & ML) programme provides the modelling foundation.
• Database and data analysis coursework in the CSE core supplies the query and data-preparation skills underneath.
• Probability and statistics from the GGSIPU mathematics core are what make automated insight claims interpretable rather than decorative.

Where Augmented Analytics skills lead

Graduates applying Augmented Analytics skills typically target roles such as Data Analyst, Machine Learning Engineer, Business Intelligence Engineer, Data Scientist. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.

How admission works

Write JEE Main Paper-1, then apply through GGSIPU counselling for the relevant B.Tech programme at VSET. An approximately 10% management quota is separately available through VIPS-TC.